allow passing components to connected pipelines when use the combined pipeline

src/diffusers/pipelines/pipeline_utils.py

@@ -1147,8 +1147,22 @@ def load_module(name, value):
                 "variant": variant,
                 "use_safetensors": use_safetensors,
             }
+
+            def get_connected_passed_kwargs(prefix):
+                connected_passed_class_obj = {
+                    k.replace(f"{prefix}_", ""): w for k, w in passed_class_obj.items() if k.split("_")[0] == prefix
+                }
+                connected_passed_pipe_kwargs = {
+                    k.replace(f"{prefix}_", ""): w for k, w in passed_pipe_kwargs.items() if k.split("_")[0] == prefix
+                }
+
+                connected_passed_kwargs = {**connected_passed_class_obj, **connected_passed_pipe_kwargs}
+                return connected_passed_kwargs
+
             connected_pipes = {
-                prefix: DiffusionPipeline.from_pretrained(repo_id, **load_kwargs.copy())
+                prefix: DiffusionPipeline.from_pretrained(
+                    repo_id, **load_kwargs.copy(), **get_connected_passed_kwargs(prefix)
+                )
                 for prefix, repo_id in connected_pipes.items()
                 if repo_id is not None
             }

tests/pipelines/test_pipelines_combined.py

@@ -18,7 +18,13 @@
 import torch
 from huggingface_hub import ModelCard
 
-from diffusers import DiffusionPipeline, KandinskyV22CombinedPipeline, KandinskyV22Pipeline, KandinskyV22PriorPipeline
+from diffusers import (
+    DDPMScheduler,
+    DiffusionPipeline,
+    KandinskyV22CombinedPipeline,
+    KandinskyV22Pipeline,
+    KandinskyV22PriorPipeline,
+)
 from diffusers.pipelines.pipeline_utils import CONNECTED_PIPES_KEYS
 
 
@@ -101,3 +107,22 @@ def test_load_connected_checkpoint_default(self):
                 assert dict(component.config) == dict(comp.config)
             else:
                 assert component.__class__ == comp.__class__
+
+    def test_load_connected_checkpoint_with_passed_obj(self):
+        pipeline = KandinskyV22CombinedPipeline.from_pretrained(
+            "hf-internal-testing/tiny-random-kandinsky-v22-decoder"
+        )
+        prior_scheduler = DDPMScheduler.from_config(pipeline.prior_scheduler.config)
+        scheduler = DDPMScheduler.from_config(pipeline.scheduler.config)
+
+        # make sure we pass a different scheduler and prior_scheduler
+        assert pipeline.prior_scheduler.__class__ != prior_scheduler.__class__
+        assert pipeline.scheduler.__class__ != scheduler.__class__
+
+        pipeline_new = KandinskyV22CombinedPipeline.from_pretrained(
+            "hf-internal-testing/tiny-random-kandinsky-v22-decoder",
+            prior_scheduler=prior_scheduler,
+            scheduler=scheduler,
+        )
+        assert dict(pipeline_new.prior_scheduler.config) == dict(prior_scheduler.config)
+        assert dict(pipeline_new.scheduler.config) == dict(scheduler.config)